搜索资源列表
eemscat
- 一种能够消除三维荧光瑞利散射，而且能对移去区域以内插值的形式引入，从而避免缺失值的出现-The function EEMscat is a function that takes an EEM dataset and removes scattering as well as (optionally) interpolates the removed areas such that there are no missing values introduced.
pcamv
- Matlab package for PCA for datasets with missing values
imputation
- 不完全数据分析MATLAB程序（部分信息重建）：最小均方估计、协方差矩阵、缺失值推测-Analysis of incomplete datasets: Estimation of mean values and covariance matrices and imputation of missing values
SVDU
- 一种奇异值分解的更新算法，可以用来增量地进行主成分分析，根据文献《Incremental singular value decomposition of uncertain data with missing values》-《Incremental singular value decomposition of uncertain data with missing values》
Classifier_gaussian
- The code is for Classification using Gaussian Method on the Multi Variate Dataset with no missing values.
C2
- The Impact of Missing Values Imputation Methods in cDNA Microarrays on Downstream Data Analysis
KNN_imputer
- 基因数据的缺失值预测，主流KNN算法的代码包-Missing values to predict the genetic data, Mainstream KNN algorithm code package
phpsysinfo-3.0.18.tar
- phpSysInfo是基于apache和php，简单监测服务器状态，包括服务器使用的系统，核心版本，服务器硬件信息详细信息，同时还有网络设备的使用情况，以及内存的使用情况，磁盘信息等，在页面最顶端可以选择页面的风格以及语言。 phpSysInfo 3.0.18 升级日志:2012-06-30 - [新增]智能的插件REPLACEMENT_ID＃（替代身份证号码）配置选项 - [添加]设置不同版本的Windows的标志，包括Windows2000/XP/Vista/7/8 -
difference
- 气象应用。分别对x,y,p方向进行空间差分，并对缺值部分进行插补（因为资料可能来源于站点插值，一些网格没有资料）-Meteorological applications. X, y, p direction spatial difference, and part of the interpolation of missing values (because the data may be derived from the site interpolation gri
01
- 用于格点数据进行距平计算，并且考虑了缺测值问题，对于新手非常有用哦-For grid point data the anomaly calculation and consider the problem of missing values, useful for the novice Oh
LIBSVMconverter
- Convert array to a text file that can use with LIBSVM library Convert LIBSVM file format to an array Disadv: does not work if missing values are present.
DM5
- 使用matlab进行数据预处理，包括缺失值和离群值的处理-Using matlab for data preprocessing, including missing values and outliers are treated
missing_toolbox
- 用于处理各种丢失数据的matlab函数。-various functions for handling missing values.
M5PrimeLab
- M5PrimeLab是一种Matlab / Octave工具箱，可以利用M5的方法构建回归树和模型树。M5PrimeLab接受的输入变量是连续的、二进制和明确的,以及管理缺失值。-M5PrimeLab is a Matlab/Octave toolbox for building regression trees and model trees using M5 method. M5PrimeLab accepts input variables to be continuous, binar
datasetC
- 一次性读3000行数据，可以修改最大值，提取每行数据，然后读入结构体，然后对每行数据进行处理，分段读大文件-Subparagraph to read large files, read 3000 lines at once, and then for each row of data processing and handling missing values. Reads the data in each row and write program writes the extracted
fenbieshaliangNA
- 自己修改的bugs软件，用来测试缺失值处理，比较简单，属于练习性质。-Handle missing values
fill_gap
- Filling in the missing values or 3d data interpolation
Desktop
- 利用python读取aeronet的资料，适合刚入门的朋友，从第几行开始读，如何设置缺失值也有。(Using Python to read AERONET data, it is suitable for beginners to start reading from the first few lines, and how to set missing values.)
代码
- 使用的是深圳市数学建模的电信用户数据，基于数据筛选出高价值用户，并分析他们的消费特点。代码中包括了层次分析法，聚类分析，数据的缺失值、异常值的处理(The code includes the analytic hierarchy process, the clustering analysis, the missing values of the data, and the handling of the abnormity values)
missing_value
- This is and exemple on missing value handling